Google Analytics 4 to Redash Integration

How Datrise loads Google Analytics 4 into Redash

Datrise syncs Google Analytics 4's events, users, sessions, traffic sources, conversions, and audiences into Redash as SQL tables Redash queries and visualizes. Flexible or custom fields land in flattened columns for query results, and timestamps such as created, updated, and status changes are typed as temporal columns.

Sync is incremental: Datrise uses incremental refresh of the connected tables, so re-runs update only what changed. Date-partitioned facts for scheduled queries. Redash caches query results on a schedule, so Datrise keeps tables incrementally fresh so cached dashboards reflect reality.

Ideal for lightweight, query-driven dashboards.

Endpoints

Google Analytics 4: Event-based web and app analytics from Google.

Redash: Open-source SQL client for queries, visualizations, and dashboards.

How Google Analytics 4 entities map to Redash

Google Analytics 4 entity	Redash object	Notes
events	`ga4_events`	temporal columns events
users	`ga4_users`	id PK · linked to ga4_events
sessions	`ga4_sessions`	id PK · linked to ga4_events
traffic sources	`ga4_traffic_sources`	id PK · linked to ga4_events

FAQ

How does Datrise handle Google Analytics 4's custom fields in Redash?

Flexible values are stored as flattened columns for query results, so new fields don't require a migration; strongly-typed fields — dates, numbers, and references — are promoted to native Redash types.

How does the Google Analytics 4 to Redash sync stay up to date?

It runs incrementally — Datrise uses incremental refresh of the connected tables.

Related pipelines

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